Effect of Deep Predictor Implementation: Identification and Prevention of Churned Customers
Detect signs of disengagement in advance and move away from reactive measures. Support customer retention through scoring with a cancellation and disengagement prevention AI service.
One of the challenges that our no-code AI predictive analytics service "Deep Predictor" addresses is the "identification and prevention of churned customers." We predict the churn rate and LTV for each customer, listing those with high opportunity loss. We forecast the ROI of churn prevention measures and identify suitable actions. The identification and prevention of churned customers using AI has become an essential element in modern business strategy, significantly contributing to corporate success. 【Required Data】 ■ Customer Behavior Data - Customer behavior data such as purchase history, website browsing history, and app usage history. ■ Customer Attribute Data - Basic information about customers (gender, age, geographic location, etc.) and attribute information from purchase history. ■ Interaction Data - Communication history with customers, complaint data, feedback, etc. *For more details, please download the PDF or feel free to contact us.
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Our company actively engages in technological innovation and creates efficient communication infrastructure based on predictive models utilizing machine learning, thereby generating new value in communication.
